一直用storm做实时流的开发,之前系统学过spark但是一直没做个模版出来用,国庆节有时间准备做个sparkStream的模板用来防止以后公司要用。（功能模拟华为日常需求,db入库hadoop环境）

1.准备好三台已经安装好集群环境的的机器,在此我用的是linux red hat,集群是CDH5.5版本（公司建议用华为FI和cloudera manager这种会比较稳定些感觉）

 

 2.CRT工具链接上集群环境，启动hadoop集群,本人是一个master两个salve结构（one namenode two datanode）

 

3.因为spark依赖与ZK,继续启动ZK，此时会选举出一个leader两个follower

4.启动spark，会有一个master两个worder

5.启动三台kafka

6.查看全部存在的topic,后面用一个来消费（./kafka-topics.sh --zookeeper spark1:2181,spark2:2181,spark3:2181 --list）

7.打开eclipse测试producter和consumer

producter

 1 /**
 2  * Licensed to the Apache Software Foundation (ASF) under one or more
 3  * contributor license agreements.  See the NOTICE file distributed with
 4  * this work for additional information regarding copyright ownership.
 5  * The ASF licenses this file to You under the Apache License, Version 2.0
 6  * (the "License"); you may not use this file except in compliance with
 7  * the License.  You may obtain a copy of the License at
 8  * 
 9  *    http://www.apache.org/licenses/LICENSE-2.0
10  *
11  * Unless required by applicable law or agreed to in writing, software
12  * distributed under the License is distributed on an "AS IS" BASIS,
13  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14  * See the License for the specific language governing permissions and
15  * limitations under the License.
16  */
17 package kafka.examples;
18 
19 import java.util.Properties;
20 import kafka.producer.KeyedMessage;
21 import kafka.producer.ProducerConfig;
22 
23 public class Producer extends Thread {
24     private final kafka.javaapi.producer.Producer<Integer, String> producer;
25     private final String topic;
26     private final Properties props = new Properties();
27 
28     public Producer(String topic) {
29         props.put("serializer.class", "kafka.serializer.StringEncoder");// 字符串消息
30         props.put("metadata.broker.list",
31                 "spark1:9092,spark2:9092,spark3:9092");
32         // Use random partitioner. Don't need the key type. Just set it to
33         // Integer.
34         // The message is of type String.
35         producer = new kafka.javaapi.producer.Producer<Integer, String>(
36                 new ProducerConfig(props));
37         this.topic = topic;
38     }
39 
40     public void run() {
41         for (int i = 0; i < 2000; i++) {
42             String messageStr = new String("Message_" + i);
43             System.out.println("product:"+messageStr);
44             producer.send(new KeyedMessage<Integer, String>(topic, messageStr));
45         }
46 
47     }
48 
49     public static void main(String[] args) {
50         Producer producerThread = new Producer(KafkaProperties.topic);
51         producerThread.start();
52     }
53 }

consumer

/**
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 * 
 *    http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package kafka.examples;

import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Properties;
import kafka.consumer.ConsumerConfig;
import kafka.consumer.ConsumerIterator;
import kafka.consumer.KafkaStream;
import kafka.javaapi.consumer.ConsumerConnector;

public class Consumer extends Thread {
	private final ConsumerConnector consumer;
	private final String topic;

	public Consumer(String topic) {
		consumer = kafka.consumer.Consumer
				.createJavaConsumerConnector(createConsumerConfig());//创建kafka时传入配置文件
		this.topic = topic;
	}
	//配置kafka的配置文件项目
	private static ConsumerConfig createConsumerConfig() {
		Properties props = new Properties();
		props.put("zookeeper.connect", KafkaProperties.zkConnect);
		props.put("group.id", KafkaProperties.groupId);//相同的kafka groupID会给同一个customer消费
		props.put("zookeeper.session.timeout.ms", "400");
		props.put("zookeeper.sync.time.ms", "200");
		props.put("auto.commit.interval.ms", "60000");//

		return new ConsumerConfig(props);

	}
// push消费方式，服务端推送过来。主动方式是pull
	public void run() {
		Map<String, Integer> topicCountMap = new HashMap<String, Integer>();
		topicCountMap.put(topic, new Integer(1));//先整体存到Map中
		Map<String, List<KafkaStream<byte[], byte[]>>> consumerMap = consumer
				.createMessageStreams(topicCountMap);//用consumer创建message流然后放入到consumerMap中
		KafkaStream<byte[], byte[]> stream = consumerMap.get(topic).get(0);//再从流里面拿出来进行迭代
		ConsumerIterator<byte[], byte[]> it = stream.iterator();
		
		while (it.hasNext()){
			//逻辑处理
			System.out.println(new String(it.next().message()));
		}
	}

	public static void main(String[] args) {
		Consumer consumerThread = new Consumer(KafkaProperties.topic);
		consumerThread.start();
	}
}　　

config

/**
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 * 
 *    http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package kafka.examples;

public interface KafkaProperties
{
  final static String zkConnect = "spark1:2181,spark2:2181,spark3:2181";
  final static  String groupId = "group1";
  final static String topic = "track_log";
  
//  final static String kafkaServerURL = "localhost";
//  final static int kafkaServerPort = 9092;
//  final static int kafkaProducerBufferSize = 64*1024;
//  final static int connectionTimeOut = 100000;
//  final static int reconnectInterval = 10000;
//  final static String topic2 = "topic2";
//  final static String topic3 = "topic3";
//  final static String clientId = "SimpleConsumerDemoClient";
}

8.编写scala代码.